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The Model Context Protocol (MCP) is an open standard for AI model communication.
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  • boilerplate-mcp-server

    57

    TypeScript Model Context Protocol (MCP) server boilerplate providing IP lookup tools/resources. Includes CLI support and extensible structure for connecting AI systems (LLMs) to external data sources

    TypeScript
  • mcp-sdk

    57

    Minimalistic Rust Implementation Of Model Context Protocol from Anthropic

    Rust
  • rember-mcp

    56

    This repository provides the Rember MCP server, enabling Claude to create flashcards for spaced repetition learning using the Model Context Protocol. It allows users to generate flashcards from chats and

    TypeScript
  • cryptopanic-mcp-server

    54

    This repository provides a server that delivers the latest cryptocurrency news to AI agents, utilizing the CryptoPanic API. It offers a tool to fetch news, analysis, and videos with configurable page limits.

    Python
  • MCP-PIF

    53

    This repository implements the Model Context Protocol (MCP) as part of the Personal Intelligence Framework (PIF), creating spaces for meaningful AI-human understanding through structured tools and interaction patterns.

    TypeScript
  • mcp-thinking

    52

    This repository extracts the chain of thought from Deepseek R1, enabling its use in Claude Desktop or other MCP clients. It requires a Deepseek API key and utilizes a setup

    TypeScript
  • gomcp

    52

    Unofficial Golang SDK for Anthropic Model Context Protocol

    Go
  • uml-mcp

    50

    UML-MCP Server is a UML diagram generation tool based on MCP (Model Context Protocol), which can help users generate various types of UML diagrams through natural language description or directly writ

    Python
  • mcp-jenkins

    49

    The Model Context Protocol (MCP) is an open-source implementation that bridges Jenkins with AI language models following Anthropic's MCP specification. This project enables secure, contextual AI inter

    Python
  • quick-mcp-example

    48

    This repository standardizes LLM interaction with MCP servers, which expose tools, execute functions, provide static content, and offer preset prompts through a unified framework. This repository standardizes LLM interaction with

    Python
  • matlab-mcp-server

    47

    The MATLAB MCP server provides AI users with powerful scientific computing and data analysis capabilities. It allows users to execute MATLAB code directly in conversations, generate MATLAB scripts fro

    JavaScript
  • oatpp-mcp

    46

    Oatpp-mcp implements Anthropic's Model Context Protocol for Oat++, enabling LLM integration with your Oat++ API through autogenerated tools. It supports STDIO and HTTP SSE transports, along with Prompts, Resources, and Tools.

    C++
  • Aspire.MCP.Sample

    45

    This repository provides a sample MCP server and client using Aspire, demonstrating MCP communication within a structured Aspire environment, including a Blazor Chat client and integration with LLMs for function calling.

    HTML
  • mcp-openapi-schema

    44

    This repository provides a Model Context Protocol (MCP) server that exposes OpenAPI schema information to Large Language Models, enabling them to explore and understand API specifications through specialized tools.

    JavaScript
  • spring-ai-mcp-client

    44

    This repository provides a Spring AI-based Model Context Protocol (MCP) client for interacting with MCP-supported servers, enabling AI chat interactions using Anthropic and OpenAI models. This repository provides a Spring

    Java
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